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**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** THE ONGOING SYSTEMATIC COLLECTION, ANALYSIS, AND INTERPRETATION OF PLANT DISEASE PROGRESSION DATA ARE ESSENTIAL TO PLANNING AND EVALUATING SCIENTIFICALLY-BASED DISEASE MANAGEMENT RESPONSE OPTIONS. CURRENTLY, MANY BARRIERS LIMIT THE ADEQUATE DESCRIPTION OF PLANT DISEASE EPIDEMICS, INCLUDING INSUFFICIENT, COSTLY, AND LABOR-INTENSIVE DATA COLLECTION METHODS. WE SEEK TO ADVANCE DISEASE AND PATHOGEN DETECTION AND PATTERN RECOGNITION METHODS URGENTLY NEEDED FOR INCREASING SURVEILLANCE AND DECISION-MAKING USING THE TAR SPOT DISEASE OF CORN AS A MODEL SYSTEM. WE WILL TEST IF IMAGING CAN PROVIDE ADEQUATE EPIDEMIOLOGICAL INFORMATION FROM PLANT POPULATIONS RELATED TO THE SURVEILLANCE OF TAR SPOT. HENCE, WE WILL FOCUS ON THE FOLLOWING OBJECTIVES: 1) OFFER A PARTICIPATORY MODELING PROCESS INVOLVING STAKEHOLDERS, 2) TEST THE ABILITY TO ACCURATELY AND TIMELY SIMULATE TAR SPOT EPIDEMICS AT THE FIELD LEVEL USING DATA EXTRACTED FROM PROXIMAL (RGB) IMAGERY, AND 3) CHARACTERIZE TAR SPOT EPIDEMICS WITH DATA AUTOMATICALLY EXTRACTED FROM PROXIMAL RGB IMAGERY COLLECTED THROUGH POINT-IN-TIME OR CONTINUOUS MONITORING.

$292,005FY2023National Institute of Food and AgricultureUSDA

Purdue University, West Lafayette IN

Investigators

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**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** THE ONGOING SYSTEMATIC COLLECTION, ANALYSIS, AND INTERPRETATION OF PLANT DISEASE PROGRESSION DATA ARE ESSENTIAL TO PLANNING AND EVALUATING SCIENTIFICALLY-BASED DISEASE MANAGEMENT RESPONSE OPTIONS. CURRENTLY, MANY BARRIERS LIMIT THE ADEQUATE DESCRIPTION OF PLANT DISEASE EPIDEMICS, INCLUDING INSUFFICIENT, COSTLY, AND LABOR-INTENSIVE DATA COLLECTION METHODS. WE SEEK TO ADVANCE DISEASE AND PATHOGEN DETECTION AND PATTERN RECOGNITION METHODS URGENTLY NEEDED FOR INCREASING SURVEILLANCE AND DECISION-MAKING USING THE TAR SPOT DISEASE OF CORN AS A MODEL SYSTEM. WE WILL TEST IF IMAGING CAN PROVIDE ADEQUATE EPIDEMIOLOGICAL INFORMATION FROM PLANT POPULATIONS RELATED TO THE SURVEILLANCE OF TAR SPOT. HENCE, WE WILL FOCUS ON THE FOLLOWING OBJECTIVES: 1) OFFER A PARTICIPATORY MODELING PROCESS INVOLVING STAKEHOLDERS, 2) TEST THE ABILITY TO ACCURATELY AND TIMELY SIMULATE TAR SPOT EPIDEMICS AT THE FIELD LEVEL USING DATA EXTRACTED FROM PROXIMAL (RGB) IMAGERY, AND 3) CHARACTERIZE TAR SPOT EPIDEMICS WITH DATA AUTOMATICALLY EXTRACTED FROM PROXIMAL RGB IMAGERY COLLECTED THROUGH POINT-IN-TIME OR CONTINUOUS MONITORING. · GrantIndex